- Tytuł:
- Deep learning based road recognition for intelligent suspension systems
- Autorzy:
-
Sun, Jinwei
Cong, Jingyu - Powiązania:
- https://bibliotekanauki.pl/articles/2055054.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
- Tematy:
-
intelligent suspension system
deep learning
road recognition - Opis:
- This paper presents a deep learning-based road recognition strategy for advanced suspension systems. A four-quarter suspension model with a magnetorheological (MR) damper is developed, and four typical road images with corresponding roughness data are collected. A back-propagation neural network based autoencoder and Convolutional Neural Networks (CNN) are utilized to form the deep learning structure. By utilizing the multi-object genetic algorithm, the optimal parameters can be obtained, and the control current can be adaptively adjusted. Simulation results indicate that the designed structure can identify the road type accurately, and the recognition-based control strategy can improve the suspension performance effectively.
- Źródło:
-
Journal of Theoretical and Applied Mechanics; 2021, 59, 3; 493--508
1429-2955 - Pojawia się w:
- Journal of Theoretical and Applied Mechanics
- Dostawca treści:
- Biblioteka Nauki
Artykuł